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06/17/2023
Human-In-the-Loop for Bayesian Autonomous Materials Phase Mapping
Autonomous experimentation (AE) combines machine learning and research h...
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08/19/2022
Scalable Multi-Agent Lab Framework for Lab Optimization
Autonomous materials research systems allow scientists to fail smarter, ...
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04/12/2022
Benchmarking Active Learning Strategies for Materials Optimization and Discovery
Autonomous physical science is revolutionizing materials science. In the...
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04/08/2022
A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation
The next generation of physical science involves robot scientists - auto...
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11/15/2021
Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping
Application of artificial intelligence (AI), and more specifically machi...
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06/11/2020
On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning
Active learning - the field of machine learning (ML) dedicated to optima...
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03/31/2020
CRYSPNet: Crystal Structure Predictions via Neural Network
Structure is the most basic and important property of crystalline solids...
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11/05/2019
Designing over uncertain outcomes with stochastic sampling Bayesian optimization
Optimization is becoming increasingly common in scientific and engineeri...
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02/20/2018